Power BI Introduces AI-Powered Web Modeling with Copilot

Microsoft has introduced Copilot in web modeling for Power BI in Preview, bringing AI-assisted semantic model authoring directly into the browser. The new capability allows users to analyse, refine, and improve semantic models using natural language prompts, helping reduce the time spent on manual model management.

Here's what you need to know:

• Accelerate Model Development with Copilot

  Copilot is built directly into the model authoring experience, enabling you to explore and improve your semantic models through conversation. Whether you're standardising naming conventions, creating measures, or refining model structure, Copilot can recommend changes and apply updates for you.

• Powerful Model Management Capabilities

  Copilot can analyse your model and identify opportunities for improvement, including inconsistent naming, unclear structures, and optimisation opportunities. It can also perform schema updates such as renaming tables and columns, creating relationships, and generating DAX measures.

• Designed for Security and Oversight

  Copilot respects existing Power BI permissions, allowing Admins, Members, and Contributors to make updates to the active model. Before any analysis or changes are performed, you'll be asked to grant permission. Automatic restore checkpoints are also created, making it easy to roll back changes using semantic model version history.

• Getting Started

  Open a semantic model in Model View within the Power BI Service, switch to Edit Mode, and select Copilot from the ribbon. From there, you can use suggested prompts or ask your own questions to analyse and improve your model.

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Reduce Manual Triage with Email Classification in Dynamics 365 Customer Service

Microsoft has announced Email Classification for Dynamics 365 Customer Service, a new capability designed to automatically categorise incoming emails and improve case quality from the moment customer requests enter the system. By reducing the need for manual triage, the feature helps service representatives focus more on resolving issues and less on administrative tasks. The update aims to streamline case management workflows while improving consistency and accuracy across customer service operations.

Here's what you need to know:

• How it works

  Email Classification automatically categorises incoming emails based on rules and categories you define, such as Billing, Technical Support, or Marketing. You can control which categories create cases, helping reduce unnecessary records and avoid unwanted SLA commitments.

• How to enhance it

  Email Classification becomes even more powerful when combined with Automatic Record Creation (ARC) rules. Use email categories as conditions to ensure cases are created only for emails that require action, while everything else is filtered before reaching your queues.

• How to set it up

  Configure Email Classification in the Customer Service admin center by defining categories, setting scope conditions, and enabling the feature. Before going live, use Simulation Mode to test classification accuracy against historical emails and fine-tune your setup for better results.

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DAX User-Defined Functions Reach General Availability in Power BI

Microsoft has announced the general availability of DAX User-Defined Functions (UDFs) in Power BI, marking a major milestone for semantic model development. The feature enables developers to create reusable DAX logic that can be shared across measures, columns, and calculations, helping reduce duplication and improve model maintainability. With UDFs now production-ready, organisations can build more scalable and consistent Power BI solutions while simplifying ongoing development and governance.

Here's what you need to know:

• Reusable, discoverable DAX building blocks

  Write a calculation once and reuse it across measures, calculated columns, and visuals. UDFs help reduce duplicated logic, improve maintainability, and support more consistent reporting. With documentation comments, typed parameters, and IntelliSense support, functions become easier to understand, test, and share across teams.

• AI-ready business logic

  Because DAX UDFs are first-class model objects with typed signatures and descriptions, tools like Copilot can discover and invoke them more effectively. This provides AI with a trusted, well-defined API into your business logic rather than relying on inferred DAX expressions.

• Simple function creation and reuse

  Functions can be defined once and called throughout your model. UDFs can even call other UDFs, allowing you to create modular, layered calculations that are easier to maintain and scale.

• Enterprise governance and collaboration

  Store UDFs as TMDL files and manage them through Git repositories. Teams can build shared libraries of approved business logic, enforce standards, track versions, and reduce logic drift across semantic models.

• New GA capabilities

  General availability introduces web modeling support, optional parameters, enhanced type hints for greater flexibility and runtime safety, and the ability to create and edit UDFs directly in Model View within Power BI Desktop.

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Power BI Enters the Agentic Era at Microsoft Build 2026

Microsoft Build 2026 showcased a major evolution for Power BI, with new capabilities designed to bring AI agents directly into the analytics experience. The announcements signal a shift from traditional reporting toward agent-driven insights, automation, and decision-making across the Power BI ecosystem.

Here’s what you need to know:

• Agent Skills for Power BI

  Agent Skills for Power BI (Preview) introduces end-to-end agentic analytics. Simply describe what you need—even from a screenshot—and AI can build semantic models, generate reports, and refine visualisations through a single workflow.

• Build Enterprise Apps on Semantic Models

  Fabric Apps enables developers and AI coding agents to create enterprise-grade web applications directly from semantic models. Organisations can rapidly build tailored business applications while maintaining trusted governance and business logic.

• Curated Analytics with Org Apps

  The new Org Apps experience makes it easier to deliver customised analytics at scale. Teams can create multiple branded app experiences per workspace and use audience controls to ensure the right users see the right content.

• User-Defined Functions for DAX

  User-Defined Functions bring reusable, parameterised logic to Power BI's semantic layer. This reduces duplication, simplifies maintenance, and creates a stronger foundation for both human users and AI-driven experiences.

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.NET MAUI Developers Can Now Enable Material 3 with Ease

Microsoft has announced Material 3 support for Android apps built with .NET MAUI, allowing developers to adopt Google's latest design language through a simple project configuration. The update brings a more modern look and feel to supported controls while paving the way for broader Material 3 adoption across future releases.

Here's what you need to know:

• What is Material 3?

  Material 3 is Google's latest design system, bringing dynamic colors that adapt to user preferences and system themes. It also introduces refreshed component styling, updated shapes and elevations, and greater customisation through Material Design color tokens.

• How to enable it

  Material 3 support is available in .NET MAUI 10 for projects targeting net10.0-android. For the best experience, use version 10.0.60 or later of the Microsoft.Maui.Controls NuGet package, then add the required property to your project's .csproj file.

• What changes can you expect?

  Material 3 styling works across both light and dark modes on Android. Controls such as SearchBar, Entry, DatePicker, Picker, Slider, ProgressBar, RadioButton, CheckBox, Switch, Button, and ImageButton automatically adopt the new look and feel with minimal effort.

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Build Smarter AI Solutions with Claude Opus 4.8 in Azure AI Foundry

Microsoft has announced the availability of Claude Opus 4.8 in Azure AI Foundry, bringing Anthropic’s latest flagship AI model to developers and organizations building AI-powered solutions. The new model is designed to tackle complex coding, advanced reasoning, and long-running agentic workflows with greater reliability and depth. Its arrival further strengthens Azure AI Foundry’s growing ecosystem of leading AI models available for enterprise innovation.

Here's why it stands out:

• Built for Complex Software Development

  Claude Opus 4.8 is designed for real-world development work, including feature implementation, debugging, refactoring, migrations, and large-scale coding projects. It can reason across entire codebases, maintain context over longer sessions, and plan changes before execution, helping developers work more efficiently on complex tasks.

• Optimized for Agentic AI Workflows

  The model delivers stronger performance in multi-step workflows by using tools more reliably, adapting to changing conditions, and recovering from errors when needed. This makes it a strong option for building AI agents, workflow automation solutions, and intelligent business processes that require planning and execution.

• Advanced Reasoning for Enterprise Scenarios

  Claude Opus 4.8 is built to analyse large volumes of information, reason across multiple sources, and handle document-intensive workloads. This opens opportunities for research, financial analysis, compliance reviews, cybersecurity investigations, and other enterprise use cases that demand accuracy and depth.

• Ready for Industry-Specific Applications

  From software engineering and business automation to legal, financial services, life sciences, and cybersecurity, Claude Opus 4.8 can support a wide range of industry and cross-functional scenarios where advanced AI capabilities can drive productivity and better decision-making.

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How .NET Developers Can Get More Out of GitHub Copilot

Microsoft is highlighting new ways .NET developers can get more value from GitHub Copilot, focusing on practical workflows instead of simply learning every feature individually. The latest guidance explores how developers can use Copilot across tools like Visual Studio, Visual Studio Code, the Copilot CLI, and cloud coding agents to improve planning, reasoning, and execution.

As AI-assisted development continues to evolve, Microsoft is encouraging developers to adopt more agentic and collaborative coding workflows that help streamline day-to-day development tasks.

Here’s how you can start using chat for reasoning and agentic workflows for execution instead of trying to learn every single feature:

• Match the Tool to the Work

  Visual Studio, Visual Studio Code, the Copilot CLI, and the cloud coding agent each excel at different kinds of .NET tasks. Instead of asking which tool is “most advanced,” focus on which one best fits the work you need to complete right now.

• Focus on the Task Before the Feature

  The fastest way to get value from Copilot is by asking what part of the task you can delegate. For example, before modifying a legacy ASP.NET Core service, use chat to understand dependencies, feature flags, and business logic so you can work with confidence instead of making blind changes.

• Build Better Prompts for Better Results

  Strong .NET prompts usually include four things: the goal, the related code or output, the constraints, and the expected result. Giving Copilot clear context helps produce answers that are more accurate, actionable, and aligned with your coding standards.

• Put Agentic Workflows into Practice

  Agentic workflows are most effective for tasks that are multi-step, reviewable, and clearly scoped. They can help clean repetitive logging, resolve nullable warnings, refactor guard clauses, or modernise result-handling patterns while keeping the work structured and traceable.

• Know When to Use Chat vs Agents

  Use chat when you need help understanding, outlining, comparing, explaining, or drafting. Use agentic workflows when you need assistance making updates, verifying changes, rerunning checks, and delivering a reviewable result.

• Develop Habits That Improve Copilot Output

  Always define boundaries, state constraints clearly, and explain what must not change before starting a task. For .NET projects, this could mean preserving public APIs, following existing xUnit patterns, keeping DI registration styles consistent, or limiting nullable annotation updates to a specific project.

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Plan, Review, Refine: What’s New in Visual Studio This May 2026

Microsoft has released its May 2026 update for Visual Studio, introducing new features designed to improve how developers plan, review, and refine their work. The update brings AI-assisted workflow enhancements, including the new Plan agent, improved multi-file review experiences, and better management of Agent Skills within GitHub Copilot. Together, these additions aim to create a more deliberate and collaborative development process inside Visual Studio.

Here are some of the standout updates:

• Plan before you build with the Plan Agent

  Instead of jumping straight into code, you can now collaborate with Copilot on an implementation plan first — with zero changes made to your codebase until you’re ready.

• View and manage Agent Skills

  As your Agent Skills library grows, staying organised matters. The new Skills panel gives you a centralised place to discover, review, and manage skills from your workspace and user profile.

• Manage context window usage

  Copilot conversations rely on context history, attached files, and previous prompts. Visual Studio now shows how much of the context window you’ve used, helping you avoid losing important conversation details.

• Multi-file summary diff for Copilot changes

  Reviewing multiple edited files one by one can slow you down. The new summary diff combines all Copilot-generated changes into a single unified review experience.

• Multi-file summary diff beyond Copilot

  The same streamlined review experience now works for commits and pull requests too, making it easier to understand changes across multiple files at a glance.

• Commit message instructions moved

  Commit message custom instructions are no longer managed in Source Control Integration settings. They’ve now moved to the Copilot custom instructions file within your repository.

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Power BI Introduces Outbound Access Protection for Semantic Models

Microsoft is expanding security controls in Power BI with the preview release of Outbound Access Protection (OAP) for semantic models. The update gives organizations more control over outbound connections by allowing only trusted destinations for workspace traffic. This marks another step toward stronger governance and protection for sensitive data environments in Microsoft Fabric.

Here’s what you need to know:

• What is OAP?Outbound Access Protection (OAP) is a workspace-level network security feature that blocks outbound traffic by default and only allows connections to trusted destinations you explicitly approve.

• How does outbound data move from semantic models?

  Semantic models can connect across workspaces and access cloud or on-premises data sources, including destinations outside your organisation’s data boundary. Composite models can also transfer data between sources when using DirectQuery mode.

• How does OAP work?

  OAP is managed through a single workspace setting. By enabling “Block outbound public access” under Network security, all outbound connections are denied unless an exception is configured.

• Getting started with OAP:

  Confirm your workspace is using an F SKU, enable the required tenant setting, and ensure the workspace only contains OAP-supported items before turning on “Block outbound public access” under Network security. After adding exceptions for approved destinations, allow time for the policy to propagate and validate connections to confirm everything is working correctly.

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Dynamics 365 Customer Service Introduces Data Sensitivity Labels for Customer Emails

Microsoft is introducing Data Sensitivity Labels for Emails in Dynamics 365 Customer Service, helping organisations better protect sensitive customer communications. Powered by Microsoft Purview, the capability brings classification, encryption, and compliance controls directly into customer service workflows. The update aims to help service teams maintain both security and productivity when handling confidential customer information.

Here’s what you need to know:

• How does sensitive information get exposed?

  A single forwarded email, broad recipient list, or accidental share can expose confidential customer information in seconds.

• What are Data Sensitivity Labels?

  Powered by Microsoft Purview, Data Sensitivity Labels classify outbound customer emails based on the sensitivity of their content and automatically apply the appropriate protection before sending. Using familiar labels such as Public, Confidential, and Highly Confidential, organisations can ensure every email aligns with existing security and compliance policies.

• How does it work?

  As service representatives draft customer emails, Dynamics 365 surfaces Microsoft Purview sensitivity labels directly within the workflow, making it easy to classify and protect sensitive information before sending. Once applied, the labels automatically enforce security policies such as restricting external forwarding and unauthorised access while keeping the experience seamless for both agents and customers.

• Key capabilities

  The feature includes Purview-backed sensitivity labels, in-context classification guidance, and automated protection aligned with existing compliance policies. It helps organisations maintain consistent security, governance, and enterprise-grade compliance across customer communications.

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